




import itertools
import string
from collections.abc import Generator, Iterable



def 				_A  (		lowerCAmelCase_	:   Iterable[str]  ,							lowerCAmelCase_	:   int     ):
     """simple docstring"""

     lowerCAmelCase__            =					iter(lowerCAmelCase_     )
     while True:
          lowerCAmelCase__            =					tuple(itertools.islice(lowerCAmelCase_  ,							lowerCAmelCase_     )     )
          if not chunk:
               return
          yield chunk



def 				_A  (		lowerCAmelCase_	:   str     ):
     """simple docstring"""

     lowerCAmelCase__            =					"".join([c.upper() for c in dirty if c in string.ascii_letters]     )
     lowerCAmelCase__            =					""

     if len(lowerCAmelCase_     ) < 2:
          return dirty

     for i in range(len(lowerCAmelCase_     ) - 1     ):
          clean += dirty[i]

          if dirty[i] == dirty[i + 1]:
               clean += "X"

     clean += dirty[-1]

     if len(lowerCAmelCase_     ) & 1:
          clean += "X"

     return clean



def 				_A  (		lowerCAmelCase_	:   str     ):
     """simple docstring"""

     lowerCAmelCase__            =					"ABCDEFGHIKLMNOPQRSTUVWXYZ"
     # we're using a list instead of a '2d' array because it makes the math
     # for setting up the table and doing the actual encoding/decoding simpler
     lowerCAmelCase__            =					[]

     # copy key chars into the table if they are in `alphabet` ignoring duplicates
     for char in key.upper():
          if char not in table and char in alphabet:
               table.append(lowerCAmelCase_     )

    # fill the rest of the table in with the remaining alphabet chars
     for char in alphabet:
          if char not in table:
               table.append(lowerCAmelCase_     )

     return table



def 				_A  (		lowerCAmelCase_	:   str  ,							lowerCAmelCase_	:   str     ):
     """simple docstring"""

     lowerCAmelCase__            =					generate_table(lowerCAmelCase_     )
     lowerCAmelCase__            =					prepare_input(lowerCAmelCase_     )
     lowerCAmelCase__            =					""

     # https://en.wikipedia.org/wiki/Playfair_cipher#Description
     for chara, chara in chunker(lowerCAmelCase_  ,							2     ):
          lowerCAmelCase__      ,						lowerCAmelCase__            =					divmod(table.index(lowerCAmelCase_     )  ,							5     )
          lowerCAmelCase__      ,						lowerCAmelCase__            =					divmod(table.index(lowerCAmelCase_     )  ,							5     )

          if rowa == rowa:
               ciphertext += table[rowa * 5 + (cola + 1) % 5]
               ciphertext += table[rowa * 5 + (cola + 1) % 5]
          elif cola == cola:
               ciphertext += table[((rowa + 1) % 5) * 5 + cola]
               ciphertext += table[((rowa + 1) % 5) * 5 + cola]
          else:  # rectangle
               ciphertext += table[rowa * 5 + cola]
               ciphertext += table[rowa * 5 + cola]

     return ciphertext






def 				_A  (		lowerCAmelCase_	:   str  ,							lowerCAmelCase_	:   str     ):
     """simple docstring"""

     lowerCAmelCase__            =					generate_table(lowerCAmelCase_     )
     lowerCAmelCase__            =					""

     # https://en.wikipedia.org/wiki/Playfair_cipher#Description
     for chara, chara in chunker(lowerCAmelCase_  ,							2     ):
          lowerCAmelCase__      ,						lowerCAmelCase__            =					divmod(table.index(lowerCAmelCase_     )  ,							5     )
          lowerCAmelCase__      ,						lowerCAmelCase__            =					divmod(table.index(lowerCAmelCase_     )  ,							5     )

          if rowa == rowa:
               plaintext += table[rowa * 5 + (cola - 1) % 5]
               plaintext += table[rowa * 5 + (cola - 1) % 5]
          elif cola == cola:
               plaintext += table[((rowa - 1) % 5) * 5 + cola]
               plaintext += table[((rowa - 1) % 5) * 5 + cola]
          else:  # rectangle
               plaintext += table[rowa * 5 + cola]
               plaintext += table[rowa * 5 + cola]

     return plaintext

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCamelCase__  =					{
    '''configuration_wav2vec2''': ['''WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''Wav2Vec2Config'''],
    '''feature_extraction_wav2vec2''': ['''Wav2Vec2FeatureExtractor'''],
    '''processing_wav2vec2''': ['''Wav2Vec2Processor'''],
    '''tokenization_wav2vec2''': ['''Wav2Vec2CTCTokenizer''', '''Wav2Vec2Tokenizer'''],
}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__  =					[
       '''WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''Wav2Vec2ForAudioFrameClassification''',
       '''Wav2Vec2ForCTC''',
       '''Wav2Vec2ForMaskedLM''',
       '''Wav2Vec2ForPreTraining''',
       '''Wav2Vec2ForSequenceClassification''',
       '''Wav2Vec2ForXVector''',
       '''Wav2Vec2Model''',
       '''Wav2Vec2PreTrainedModel''',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__  =					[
       '''TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''TFWav2Vec2ForCTC''',
       '''TFWav2Vec2Model''',
       '''TFWav2Vec2PreTrainedModel''',
       '''TFWav2Vec2ForSequenceClassification''',
   ]

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__  =					[
       '''FlaxWav2Vec2ForCTC''',
       '''FlaxWav2Vec2ForPreTraining''',
       '''FlaxWav2Vec2Model''',
       '''FlaxWav2Vec2PreTrainedModel''',
   ]


if TYPE_CHECKING:
   from .configuration_wavaveca import WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP, WavaVecaConfig
   from .feature_extraction_wavaveca import WavaVecaFeatureExtractor
   from .processing_wavaveca import WavaVecaProcessor
   from .tokenization_wavaveca import WavaVecaCTCTokenizer, WavaVecaTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_wavaveca import (
          WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
          WavaVecaForAudioFrameClassification,
          WavaVecaForCTC,
          WavaVecaForMaskedLM,
          WavaVecaForPreTraining,
          WavaVecaForSequenceClassification,
          WavaVecaForXVector,
          WavaVecaModel,
          WavaVecaPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_wavaveca import (
          TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFWavaVecaForCTC,
          TFWavaVecaForSequenceClassification,
          TFWavaVecaModel,
          TFWavaVecaPreTrainedModel,
      )

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_wavaveca import (
          FlaxWavaVecaForCTC,
          FlaxWavaVecaForPreTraining,
          FlaxWavaVecaModel,
          FlaxWavaVecaPreTrainedModel,
      )


else:
   import sys

   lowerCamelCase__  =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




